Debra Salt

Had a working app up in a weekend thanks to AI, but by month two, navigating the project turned into a headache. The agent kept generating new helper files and duplicate utility code instead of reusing what was already there.

Now I force the tool to keep a clean structure file and double-check file names before letting it generate new code. It slows down the speed a bit, but saves my sanity on weekends.

How do you manage that transition from rapid prototyping to actually maintaining readable code long term?

When a problem needs a diagram to explain, I don't do it all through a blind call we just look at the same thing and work on it together.

"LiveSyncDesk is Not an another Online Whiteboard, It's the moment inside a conversation when words aren't enough.

LiveSyncDesk is a small real-time visual explanation space during a conversation."

Throughput per developer is up 33.7%. Median time in code review is up 441.5%. If you're a solo maker, you are the review queue and you quietly stopped showing up for the shift.

There's a report that came out this spring that I keep coming back to, and I don't think it landed properly with makers because it's written for engineering leaders at big companies. Faros AI published "The Acceleration Whiplash" in April two years of telemetry from 22,000 developers across more than 4,000 teams. Not a survey about how developers feel. Actual measurement of what came out the other end.